विधियों की तुलना करें

	पीपीआई नेटवर्क टोपोलॉजी	HMMER प्रोफ़ाइल खोज
क्षेत्र	जैव सूचना विज्ञान	जैव सूचना विज्ञान
परिवार	Process / pipeline	Process / pipeline
उद्भव वर्ष	2000	1994
प्रवर्तक	Peter Uetz	Sean Eddy
प्रकार	Network analysis pipeline	Probabilistic sequence search pipeline
मौलिक स्रोत	Uetz, P., Giot, L., Cagney, G., Mansfield, T. A., Judson, R. S., Knight, J. R., ... & Lomax, J. (2000). A comprehensive analysis of protein-protein interactions in Saccharomyces cerevisiae. Nature, 403(6770), 623-627.	Krogh, A., Brown, M., Mian, I. S., Sjölander, K., & Haussler, D. (1994). Hidden Markov models in computational biology: applications to protein modeling. Journal of Molecular Biology, 235(5), 1501-1531.
उपनाम	protein interaction networks, interactome analysis, network topology	profile-hidden Markov model, HMM profile search, HMMER
संबंधित	3	3
सारांश	Protein-protein interaction network analysis identifies and characterizes the structural properties of cellular interaction networks. Pioneered by Uetz and colleagues through large-scale yeast two-hybrid screening, this approach reveals topological features like hubs, modules, and motifs that encode functional organization and disease associations.	HMMER profile search identifies distant protein sequence homologs using probabilistic models of protein families, known as profile Hidden Markov Models (HMMs). Developed by Eddy and colleagues, this method captures sequence variation patterns within protein families and detects homologs with far greater sensitivity than position-weight matrices or pairwise alignment.